Comment NASA is using GPUs too (Score 1) 103
NASA is also using GPUs -- looks for climate / atmospheric modeling.
Submission + - China does it again (hpcwire.com)
gupg writes: When China built the fastest supercomputer based on NVIDIA GPUs last year, a lot naysayers said this was just a stunt machine. Well, guess what — here comes the science! They are working on better material for solar panels and they ran the world's fastest simulation ever! NVIDIA (whose GPUs accelerate these applications as a co-processor) blogged on this a while ago, where they talk about how the US really needs to up its investment in high performance computing.
Comment Gordon Bell Prize at Supercomputing (Score 1) 229
The Gordon Bell Prize give at the Supercomputing Conference is effectively the yearly Nobel Prize for computing.
Wikipedia
http://en.wikipedia.org/wiki/Gordon_Bell_Prize
ACM website:
http://awards.acm.org/bell/
Comment Lots of GPU-accelerated numerical packages (Score 1) 89
There are tons of other CUDA accelerated numerical packages besides Matlab -- Mathematica, LabView, plugins / wrappers / libraries for Python, R, IDL. Some of these are linked from NVIDIA's website
http://www.nvidia.com/object/numerical-packages.html
Others from
http://www.nvidia.com/object/data_mining_analytics_database.html
Comment 3 of Top5 Supercomputers already use NVIDIA GPUs (Score 1) 103
3 of the Top 5 supercomputers are already using NVIDIA GPUs:
NVIDIA press release
Bill Dally outlined NVIDIA's plans for Exascale computing at Supercomputing in Nov 2010:
Bill Dally Keynote
Comment Re:more nukes :/ (Score 3, Informative) 103
5 of Top 10 most green supercomputers use GPUs:
Green 500 List
Each GPU is very high performance and so high power. Performance / watt is what counts and
here GPUs beat CPUs by 4 to 5 times. This is why so many of the new supercomputers are using
GPUs / heterogenous computing.
Next Generation of Windows To Run On ARM Chip 307
Hugh Pickens writes "Sharon Chan reports in the Seattle Times that at the Consumer Electronics Show in Las Vegas, Microsoft showed the next generation of Windows running natively on an ARM chip design, commonly used in the mobile computing world, indicating a schism with Intel, the chip maker Microsoft has worked with closely with throughout the history of Windows and the PC. The Microsoft demonstration showed Word, PowerPoint and high definition video running on a prototype ARM chipset made by Texas Instruments, Nvidia. 'It's part of our plans for the next generation of Windows,' says Steve Sinofsky, president of Windows division. 'That's all under the hood.' According to a report in the WSJ, the long-running alliance between Microsoft and Intel is coming to a day of reckoning as sales of tablets, smartphones and televisions using rival technologies take off, pushing the two technology giants to go their separate ways. The rise of smartphones and more recently, tablets, has strained the relationship as Intel's chips haven't been able to match the low power consumption of chips based on designs licensed from ARM. Intel has also thumbed its nose at Microsoft by collaborating with Microsoft archrival Google on the Chrome OS, Google's operating system that will compete with Windows in the netbook computer market. 'I think it's a deep fracture,' says venture capitalist Jean-Louis Gassee regarding relations between Microsoft and Intel."
Submission + - NVIDIA entering the CPU business with ARM (pcmag.com)
gupg writes: Lots of articles at CNET, PC Mag, NVIDIA press release, and NVIDIA blog by chief scientist Bill Dally.
Its the long rumored CPU from NVIDIA and is called "Project Denver". High performance, lower power ARM-based custom CPUs for personal computers, workstations, and supercomputers. Ties in well with the NVIDIA's GPGPU / CUDA GPU computing strategy.
Its ARM everywhere — Microsoft announced support for Windows on ARM and there are tons of tablet announcements
at CES.
Its the long rumored CPU from NVIDIA and is called "Project Denver". High performance, lower power ARM-based custom CPUs for personal computers, workstations, and supercomputers. Ties in well with the NVIDIA's GPGPU / CUDA GPU computing strategy.
Its ARM everywhere — Microsoft announced support for Windows on ARM and there are tons of tablet announcements
at CES.
NVIDIA Shows Off "Optimus" Switchable Graphics For Notebooks 102
Vigile writes "Transformers jokes aside, NVIDIA's newest technology offering hopes to radically change the way notebook computers are built and how customers use them. The promise of both extended battery life and high performance mobile computing has seemed like a pipe dream, and even the most recent updates to 'switchable graphics' left much to be desired in terms of the user experience. Having both an integrated and discrete graphics chip in your notebook does little good if you never switch between the two. Optimus allows the system to seamlessly and instantly change between IGP and discrete NVIDIA GPUs based on the task being run, including games, GPU encoding or Flash video playback. Using new software and hardware technology, notebooks using Optimus can power on and pass control to the GPU in a matter of 300ms and power both the GPU and PCIe lanes completely off when not in use. This can be done without being forced to reboot or even close out your applications, making it a hands-free solution for the customer."
An Open Source Compiler From CUDA To X86-Multicore 71
Gregory Diamos writes "An open source project, Ocelot, has recently released a just-in-time compiler for CUDA, allowing the same programs to be run on NVIDIA GPUs or x86 CPUs and providing an alternative to OpenCL. A description of the compiler was recently posted on the NVIDIA forums. The compiler works by translating GPU instructions to LLVM and then generating native code for any LLVM target. It has been validated against over 100 CUDA applications. All of the code is available under the New BSD license."
Submission + - More effective virus/SPAM scanning using GPUs (kaspersky.com)
gupg writes: Kaspersky Labs announced that they’re leveraging GPU computing (CUDA) with NVIDIA Tesla GPUs to dramatically improve the performance of their security software solutions by *360 times* when compared to a Core2 Duo. Now thats a big speedup! There are other previous works like ClamAV on GPU and SNORT on GPU.
Kaspersky Lab uses the NVIDIA Tesla S1070 1U GPU system to accelerate the screening of malicious programs using a unique file similarity detection technology. When the Kaspersky anti-virus software on a computer suspects that a file may be malicious, even though it may not match any known virus signatures, the software uploads this file to the Kaspersky Lab data center. The server software then compares the suspected file against more than 50 million known good files and programs. Using complex anti-virus and SPAM detection algorithms, Kaspersky’s server software identifies the risk level of the suspected file and informs the client computer on what kind of preventive action to take..
Kaspersky Lab uses the NVIDIA Tesla S1070 1U GPU system to accelerate the screening of malicious programs using a unique file similarity detection technology. When the Kaspersky anti-virus software on a computer suspects that a file may be malicious, even though it may not match any known virus signatures, the software uploads this file to the Kaspersky Lab data center. The server software then compares the suspected file against more than 50 million known good files and programs. Using complex anti-virus and SPAM detection algorithms, Kaspersky’s server software identifies the risk level of the suspected file and informs the client computer on what kind of preventive action to take..
Comment x86 processors were never designed for HPC (Score 1) 251
Note the comment from
Steve Conway from IDC
Steve Conway, senior analyst with IDC for high performance computing issues, said this problem has been around for a while, and multi-core is only exacerbating it. "x86 processors were never designed for HPC," he told InternetNews.com. "Those processors were not designed to communicate with each other at a high speed. With these big systems, you have to move data over large territories.
Comment Re:weak DP performance (Score 1) 236
I'm sure tesla will find its users but we won't see them on the Top500 list anytime soon.
Its already made the Top 500 last week:
Tokyo Tech's cluster just placed at #29 on the Top 500 with the installation of 170 NVIDIA Tesla S1070 1U systems. Each Tesla S1070 has 4 Tesla GPUs in it.
Submission + - NVIDIA's Tesla GPU Personal Supercomputer ($10K)
gupg writes: NVIDIA announced a new category of supercomputers — the Tesla Personal Supercomputer — a 4 Teraflop desktop for under $10,000. This desktop machine has 4 of the Tesla C1060 GPU computing processors. These GPUs have no graphics out and are used only for computing. Each Tesla GPU has 240 cores and delivers about 1 Teraflop single precision and about 80 Gigaflops double precision floating point performance. The CPU + GPU is programmed using C with added keywords using a parallel programming model called CUDA. The CUDA C compiler/development toolchain is free to download. There are tons of applications ported to CUDA including Mathematica, LabView, ANSYS Mechanical, and tons of scientific codes from molecular dynamics, quantum chemistry, electromagnetics and are listed on CUDA Zone.
